About the Journal

Aim & Scope

The International Journal of Artificial Intelligence in Construction (IJAIC) is a peer-reviewed, interdisciplinary platform dedicated to advancing the integration of artificial intelligence (AI) technologies within the construction and infrastructure sectors. As a new international journal, IJAIC aims to consolidate emerging theory and practice by showcasing high-quality research that drives innovation across the entire construction lifecycle from planning and design to construction, operation, and sustainability.

Focus Areas

  • Project Planning, Monitoring & Control
    Emphasis on AI-driven planning, scheduling, monitoring, performance optimization, and decision support. Research in this domain highlights AI’s capabilities in improving timelines, cost control, and reliability in project delivery.

  • Automation, Robotics & On-Site Execution
    Applications of robotics, autonomous machinery, automated inspections, and computer vision for safety and efficiency on construction sites.

  • Safety, Risk Management & Compliance
    AI-enabled safety monitoring, real-time hazard detection, risk forecasting, and compliance automation via machine learning models, sensors, and NLP-based tools.

  • Optimization Across the Value Chain
    Optimization of resource allocation, logistics, energy consumption, and predictive maintenance through ML, supervised learning, and big data analytics.

  • Digital Twins, BIM & Smart Infrastructure
    Integration of AI with digital twin technologies, Building Information Modeling (BIM), IoT, and edge/cloud computing to enable smart infrastructure and intelligent facility management.

  • Sustainability & Carbon Footprint Analysis
    Applying AI to assess and reduce environmental impact, improve energy efficiency, and advance low-carbon construction practices.

  • Ethical, Social & Governance Dimensions
    Addressing ethical implications, transparency, job displacement, data privacy, trust, and liability in AI adoption within construction sectors.

Journal Features & Article Types

  • Original Research: Advances in AI algorithm development and applied solutions tailored to construction contexts.

  • Systematic & Scoping Reviews: Integrative analyses of existing AI applications and future trajectories.

  • Case Studies & Field Deployments: Real-world examples showcasing benefits, lessons learned, and implementation challenges (e.g., modular housing, AI-driven blueprint analysis).

  • Perspectives & Commentary: Ethical discussions, policy implications, and thought leadership on managing AI adoption.

Intended Audience

This journal serves a broad spectrum of stakeholders including:

  • Civil and structural engineers

  • Construction technology researchers

  • Infrastructure managers and planners

  • AI, robotics, and computer vision specialists

  • Urban planners and sustainability experts

  • Policymakers and industry stakeholders seeking evidence-based insights for AI-informed construction governance

Value Proposition

  • Bridges theory and practice by providing a forum for translating AI innovations into operational practices.

  • Supports sustainable transformation of construction through smarter, safer, and more resilient built environments.

  • Builds academic credibility via rigorous peer review, multidisciplinary breadth, and global relevance.

  • Addresses societal challenges by amplifying dialogues around ethics, equity, and technological responsibility.